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Thu 13 Jul 2017 14:00 - 14:30 at ESB 2003 - Modeling and Learning Chair(s): Alex Orso

As software systems increase in complexity and operate with less human supervision, it becomes more difficult to use traditional techniques to detect when software is not behaving as intended. Furthermore, many systems operating today are nondeterministic and operate in unpredictable environments, making it difficult to even define what constitutes correct behavior. I propose a family of novel techniques to model the behavior of executing programs using low-level signals collected during executions. The models provide a basis for predicting whether an execution of the program or program unit under test represents intended behavior. I have demonstrated success with these techniques for detecting faulty and unexpected behavior on small programs. I propose to extend the work to smaller units of large, complex programs.

Thu 13 Jul (GMT-07:00) Tijuana, Baja California change

13:30 - 15:00: Doctoral Symposium - Modeling and Learning at ESB 2003
Chair(s): Alex OrsoGeorgia Institute of Technology
issta-2017-doctoral-symposium13:30 - 14:00
Jenny HotzkowSaarland University
issta-2017-doctoral-symposium14:00 - 14:30
Deborah S. KatzCarnegie Mellon University
issta-2017-doctoral-symposium14:30 - 15:00